高电压技术2018,Vol.44Issue(1):126-135,10.DOI:10.13336/j.1003-6520.hve.20171227016
基于多变量模糊控制的直流微网混合储能策略
Hybrid Energy Storage Strategy Based on Multivariable Fuzzy Control for DC Microgrid
摘要
Abstract
In order to solve the problem of the traditional fuzzy controller without considering the interaction between all electric parameters leading to the problem of insufficient accuracy and harmony,we comprehensively considered the relations of micro source's output,load demand,and energy storage state in the DC microgrid so as to put forward hybrid energy scheduling schemes based on DC bus voltage fluctuation,the flywheel and the battery's energy storage state.Moreover,on the basis of the scheduling schemes,a multivariable fuzzy controller was designed after considering the mutual influence between electric parameters.A multiplication fuzzy relationship matrix was created through weighted value which considered the influence of electric parameters to modify the fuzzy input,then a fuzzy rule base was established to logically judge the results of the defuzzification and to generate control signals.In order to optimize the charging and discharging power of energy storage system,a hybrid energy storage charge and discharge optimization method was put forward which set the minimum DC bus voltage fluctuation as the goal,with the constraints of instantaneous power balance and storage device charge or discharge limiting condition.The simulation results showed that when the DC microgrid's DC bus voltage fluctuation is more than 5%,according to the state of flywheel and battery storage,the energy storage system can choose the right way to run quickly,so as to maintain the stability of the DC bus voltage;furthermore,the results also verify the feasibility and effectiveness of the multivariable fuzzy controller and hybrid energy storage charge and discharge of the optimization method,and the study for the engineering practice and theoretical research has certain reference value.关键词
直流微网/电压波动/混合储能/模糊控制/逻辑判断/线性优化Key words
DC microgrid/voltage fluctuation/hybrid energy storage/fuzzy control/logical judgment/linear optimization引用本文复制引用
李凤婷,曾祥军,夏令琴..基于多变量模糊控制的直流微网混合储能策略[J].高电压技术,2018,44(1):126-135,10.基金项目
国家自然科学基金(51267019).Project supported by National Natural Science Foundation of China(51267019). (51267019)